CEUR-WS.org/Vol-2125 - CLEF 2018 Working Notes

CEUR-WS.org/Vol-2125 - CLEF 2018 Working Notes
Vol-2125
urn:nbn:de:0074-2125-0
Copyright ©
2018
for the individual papers
by the papers' authors. Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
CLEF 2018
CLEF 2018 Working Notes
Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum
Avignon, France, September 10-14, 2018
Edited by
Linda Cappellato
Nicola Ferro
Jian-Yun Nie
**
Laure Soulier
***
Department of Information Engineering (DEI)
University of Padua, Via Gradenigo 6/B, 35131, Padova, Italy
**
Université de Montréal, Montréal, Canada
***
Sorbonne Université, CNRS, LIP6, F-75005 Paris, France
Table of Contents
Preface
Linda Cappellato, Nicola Ferro, Jian-Yun Nie, Laure Soulier
CENTRE@CLEF
CENTRE@CLEF2018: Overview of the Replicability Task
Nicola Ferro
Maria Maistro
Tetsuya Sakai
Ian Soboroff
Replicating an Experiment in Cross-lingual Information Retrieval with Explicit Semantic Analysis
Marco Jungwirth
Allan Hanbury
LifeCLEF
Overview of GeoLifeCLEF 2018: Location-based Species Recommendation
Christophe Botella
Pierre Bonnet
François Munoz
Pascal Monestiez
Alexis Joly
Overview of BirdCLEF 2018: Monospecies vs. Sundscape Bird Identification
Hervé Goëau
Stefan Kahl
Hervé Glotin
Bob Planque
Willem-Pier Vellinga
Alexis Joly
Overview of ExpertLifeCLEF 2018: how far Automated Identification Systems are from the Best Experts?
Hervé Goëau
Pierre Bonnet
Alexis Joly
Plant Identification with Deep Learning Ensembles
Sara Atito
Berri Yanikoglu
Erchan Aptoula
Îpek Ganiyusufoglu
Aras Yildiz
Kerem Yildirir
Baris Sevilmis
M. Umut Sen
Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge
Benjamin Deneu
Maximilien Servajean
Christophe Botella
Alexis Joly
Large-Scale Plant Classification using Deep Convolutional Neural Networks
Josef Haupt
Stefan Kahl
Danny Kowerko
Maximilian Eibl
A Baseline for Large-Scale Bird Species Identification in Field Recordings
Stefan Kahl
Thomas Wilhelm-Stein
Holger Klinck
Danny Kowerko
Maximilian Eibl
Audio-based Bird Species Identification with Deep Convolutional Neural Networks
Mario Lasseck
Machines vs. Human Experts: Contribution to the ExpertLifeCLEF 2018 Plant Identification Task
Mario Lasseck
Convolutional Long Short-Term Memory Neural Networks for Hierarchical Species Prediction
Nithish B Moudhgalya
Sharan Sundar S
Siddharth Divi
P Mirunalini
Chandrabose Aravindan
S. M. Jaisakthi
Bird Sound Classification using a Bidirectional LSTM
Lukas Müller
Mario Marti
Bird Identification from Timestamped, Geotagged Audio Recordings
Jan Schlüter
Plant Recognition by Inception Networks with Test-time Class Prior Estimation
Milan Šulc
Lukáš Picek
Jiří Matas
Species Prediction based on Environmental Variables using Machine Learning Techniques
Stefan Taubert
Max Mauermann
Stefan Kahl
Danny Kowerko
Maximilian Eibl
Construction and Improvements of Bird Songs' Classification System
Haiwei Wu
Ming Li
PAN Lab on Digital Text Forensics
Overview of the Author Obfuscation Task at PAN 2018: A New Approach to Measuring Safety
Martin Potthast
Felix Schremmer
Matthias Hagen
Benno Stein
Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter
Francisco Rangel
Paolo Rosso
Manuel Montes-y-Gómez
Martin Potthast
Benno Stein
Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection
Mike Kestemont
Michael Tschuggnall
Efstathios Stamatatos
Walter Daelemans
Günther Specht
Benno Stein
Martin Potthast
A Model for Style Breach Detection at a Glance: Notebook for PAN at CLEF 2018
Jamal Ahmad Khan
A Straightforward Multimodal Approach for Author Profiling: Notebook for PAN at CLEF 2018
Mario Ezra Aragón
A. Pastor López-Monroy
Multilingual Author Profiling using LSTMs: Notebook for PAN at CLEF 2018
Roy Khristopher Bayot
Teresa Gonçalves
Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018
Giovanni Ciccone
Arthur Sultan
Léa Laporte
Elöd Egyed-Zsigmond
Alaa Alhamzeh
Michael Granitzer
EACH-USP Ensemble Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
José Eleandro Custódio
Ivandré Paraboni
Gender Identification in Twitter using N-grams and LSA: Notebook for PAN at CLEF 2018
Saman Daneshvar
Diana Inkpen
Word Unigram Weighing for Author Profiling at PAN 2018: Notebook for PAN at CLEF 2018
Pius von Däniken
Ralf Grubenmann
Mark Cieliebak
Author Profiling using Word Embeddings with Subword Information: Notebook for PAN at CLEF 2018
Rafael Felipe Sandroni Dias
Ivandré Paraboni
Authorship Attribution with Neural Networks and Multiple Features: Notebook for PAN at CLEF 2018
Łukasz Gągała
A Big Data approach to gender classification in Twitter: Notebook for PAN at CLEF 2018
Òscar Garibo i Orts
Cross-domain Authorship Attribution: Author Identification using Char Sequences, Word Uni-grams, and POS-tags Features: Notebook for PAN at CLEF 2018
Yaakov HaCohen-Kerner
Daniel Miller
Yair Yigal
Elyashiv Shayovitz
Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018
Yaakov HaCohen-Kerner
Yair Yigal
Elyashiv Shayovitz
Daniel Miller
Toby Breckon
Cross-Domain Authorship Attribution Based on Compression: Notebook for PAN at CLEF 2018
Oren Halvani
Lukas Graner
A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018
Marjan Hosseinia
Arjun Mukherjee
Authorship Profiling Without Using Topical Information: Notebook for PAN at CLEF 2018
Jussi Karlgren
Lewis Esposito
Chantal Gratton
Pentti Kanerva
UniNE at CLEF 2018: Author Masking: Notebook for PAN at CLEF 2018
Mirco Kocher
Jacques Savoy
Mixing Traditional Methods with Neural Networks for Gender Prediction: Notebook for PAN at CLEF 2018
Rick Kosse
Youri Schuur
Guido Cnossen
Complexity Measures and POS n-grams for Author Identification in Several Languages: SINAI at PAN@CLEF 2018
Rocío López-Anguita
Arturo Montejo-Ráez
Manuel C. Díaz-Galiano
Custom Document Embeddings Via the Centroids Method: Gender Classification in an Author Profiling Task: Notebook for PAN at CLEF 2018
Roberto López-Santillán
Luis-Carlos González-Gurrola
Graciela Ramírez-Alonso
Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018
Matej Martinc
Blaž Škrlj
Senja Pollak
CIC-GIL Approach to Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
Carolina Martín-Del-Campo-Rodríguez
Helena Gómez-Adorno
Grigori Sidorov
Ildar Batyrshin
Dynamic Parameter Search for Cross-Domain Authorship Attribution: Notebook for PAN at CLEF 2018
Benjamin Murauer
Michael Tschuggnall
Günther Specht
Twitter Text and Image Gender Classification with a Logistic Regression N-Gram Model: Notebook for PAN at CLEF 2018
Moniek Nieuwenhuis
Jeroen Wilkens
Multimodal Author Profiling for Twitter: Notebook for PAN at CLEF 2018
Braja Gopal Patra
Kumar Gourav Das
Dipankar Das
Author Masking Directed by Author's Style: Notebook for PAN at CLEF 2018
Mostafa Rahgouy
Hamed Babaei Giglou
Taher Rahgooy
Hasan Zeynali
Salar Khayat Mirza Rasouli
Multi-Language Neural Network Model with Advance Preprocessor for Gender Classification over Social Media: Notebook for PAN at CLEF 2018
Kashyap Raiyani
Teresa Gonçalves
Paulo Quaresma
Vítor Beires Nogueira
Detecting a Change of Style using Text Statistics: Notebook for PAN at CLEF 2018
Kamil Safin
Aleksandr Ogaltsov
Character-based Convolutional Neural Network and ResNet18 for Twitter Author Profiling: Notebook for PAN at CLEF 2018
Nils Schaetti
Character-based Convolutional Neural Network for Style Change Detection: Notebook for PAN at CLEF 2018
Nils Schaetti
Bidirectional Echo State Network-based Reservoir Computing for Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
Nils Schaetti
Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for PAN at CLEF 2018
Erhan Sezerer
Ozan Polatbilek
Özge Sevgili
Selma Tekir
Combining Textual and Visual Representations for Multimodal Author Profiling: Notebook for PAN at CLEF 2018
Sebastian Sierra
Fabio A. González
Author Profiling based on Text and Images: Notebook for PAN at CLEF 2018
Luka Stout
Robert Musters
Chris Pool
Text and Image Synergy with Feature Cross Technique for Gender Identification: Notebook for PAN at CLEF 2018
Takumi Takahashi
Takuji Tahara
Koki Nagatani
Yasuhide Miura
Tomoki Taniguchi
Tomoko Ohkuma
Gender Identification through Multi-modal Tweet Analysis using MicroTC and Bag of Visual Words: Notebook for PAN at CLEF 2018
Eric S. Tellez
Sabino Miranda-Jiménez
Daniela Moctezuma
Mario Graff
Vladimir Salgado
José Ortiz-Bejar
Using Translated Data to Improve Deep Learning Author Profiling Models: Notebook for PAN at CLEF 2018
Robert Veenhoven
Stan Snijders
Daniël van der Hall
Rik van Noord
An Ensemble-Rich Multi-Aspect Approach Towards Robust Style Change Detection: Notebook for PAN at CLEF 2018
Dimitrina Zlatkova
Daniel Kopev
Kristiyan Mitov
Atanas Atanasov
Momchil Hardalov
Ivan Koychev
Preslav Nakov
CLEF eHealth
CLEF eHealth 2018 Multilingual Information Extraction Task Overview: ICD10 Coding of Death Certificates in French, Hungarian and Italian
Aurélie Névéol
Aude Robert
Francesco Grippo
Claire Morgand
Chiara Orsi
Laszlo Pelikan
Lionel Ramadier
Grégoire Rey
Pierre Zweigenbaum
CLEF 2018 Technologically Assisted Reviews in Empirical Medicine Overview
Evangelos Kanoulas
Dan Li
Leif Azzopardi
Rene Spijker
Overview of the CLEF 2018 Consumer Health Search Task
Jimmy
Guido Zuccon
Joao Palotti
Lorraine Goeuriot
Liadh Kelly
Retrieving and Ranking Studies for Systematic Reviews: University of Sheffield's Approach to CLEF eHealth 2018 Task 2
Amal Alharbi
William Briggs
Mark Stevenson
MAMTRA-MED at CLEF eHealth 2018: A Combination of Information Retrieval Techniques and Neural Networks for ICD-10 Coding of Death Certificates
Mario Almagro
Soto Montalvo
Arantza Díaz de Ilarraza
Alicia Pérez
IxaMed at CLEF eHealth 2018 Task 1: ICD10 Coding with a Sequence-to-Sequence Approach
Aitziber Atutxa
Arantza Casillas
Nerea Ezeiza
Victor Fresno
Iakes Goenaga
Koldo Gojenola
Raquel Martínez
Maite Oronoz Anchordoqui
Olatz Perez-De-Viñaspre
Tlemcen University at CELF eHealth 2018 Team Techno: Multilingual Information Extraction - ICD10 coding
Rabia Bounaama
Mohammed El Amine Abderrahim
OHSU CLEF 2018 Task 2 Diagnostic Test Accuracy Ranking using Publication Type Cluster Similarity Measures
Aaron Cohen
Neil Smalheiser
Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2018
Gordon Cormack
Maura Grossman
IAM at CLEF eHealth 2018 : Concept Annotation and Coding in French Death Certificates
Sebastien Cossin
Vianney Jouhet
Fleur Mougin
Gayo Diallo
Frantz Thiessard
Classification of ICD10 Codes with no Resources but Reproducible Code. IMS Unipd at CLEF eHealth Task 1
Giorgio Maria Di Nunzio
Interactive Sampling for Systematic Reviews. IMS Unipd At CLEF 2018 eHealth Task 2
Giorgio Maria Di Nunzio
Giacomo Ciuffreda
Federica Vezzani
A Study on Query Expansion with MeSH Terms and Elasticsearch. IMS Unipd at CLEF eHealth Task 3
Giorgio Maria Di Nunzio
Alexandru Moldovan
SINAI at CLEF eHealth 2018 Task 3. Using cTAKES to Remove Noise from Expanding Queries with Google
Manuel Carlos Díaz-Galiano
Pilar López-Úbeda
María-Teresa Martín-Valdivia
L. Alfonso Ureña-López
ECSTRA-APHP @ CLEF eHealth2018-task 1: ICD10 Code Extraction from Death Certificates
Rémi Flicoteaux
Instance-based Learning for ICD10 Categorization
Julien Gobeill
Patrick Ruch
KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks
Julia Ive
Natalia Viani
David Chandran
André Bittar
Sumithra Velupillai
Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks
Serena Jeblee
Akshay Budhkar
Saša Milić
Jeff Pinto
Chloé Pou-Prom
Krishnapriya Vishnubhotla
Graeme Hirst
Frank Rudzicz
QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search
Jimmy
Guido Zuccon
Bevan Koopman
ECNU at 2018 eHealth Task1 Multilingual Information Extraction
Mengting Li
Cong Xu
Tingyu Wei
Dongyang Bao
Ningjie Lu
Jing Yang
Machine Learning to Detect ICD10 Codes in Causes of Death
Pilar López-Úbeda
Manuel Carlos Díaz-Galiano
María-Teresa Martín-Valdivia
L. Alfonso Ureña-López
Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab
Adamantios Minas
Athanasios Lagopoulos
Grigorios Tsoumakas
Merging Search Results Generated by Multiple Query Variants Using Data Fusion
Nkwebi Motlogelwa
Edwin Thuma
Tebo Leburu-Dingalo
LIMSI@CLEF eHealth 2018 Task 2: Technology Assisted Reviews by Stacking Active and Static Learning
Christopher Norman
Mariska Leeflang
Aurélie Névéol
SITIS-ISPED in CLEF eHealth 2018 Task 1 : ICD10 coding using Deep Learning
Kévin Réby
Sébastien Cossin
Georgeta Bordea
Gayo Diallo
CUNI team: CLEF eHealth Consumer Health Search Task 2018
Shadi Saleh
Pavel Pecina
WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 Coding using Multi-lingual Embeddings and Recurrent Neural Networks
Jurica Ševa
Mario Sänger
Ulf Leser
ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine
Huaying Wu
Tingting Wang
Jiayi Chen
Su Chen
Qinmin Hu
Liang He
Improving Personalized Consumer Health Search: Notebook for eHealth at CLEF 2018
Hua Yang
Teresa Gonçalves
Miracl at CLEF 2018 : Consumer Health Search Task
Siwar Zayani
Nesrine Ksentini
Mohamed Tmar
Faiez Gargouri
MC2 - Multilingual Cultural Mining and Retrieval
CLEF MC2 2018 Lab Technical Overview of Cross Language Microblog Search and Argumentative Mining
Jean-Valère Cossu
Julio Gonzalo
Malek Hajjem
Olivier Hamon
Chiraz Latiri
Eric Sanjuan
Monolingual and Cross-lingual Information Retrieval in Cultural Microblog at CLEF 2018
Chedi Bechikh Ali
Hatem Haddad
ERTIM@MC2: Diversified Argumentative Tweets Retrieval
Kevin Deturck
Damien Nouvel
Frédérique Segond
LIA@CLEF 2018: Mining Events Opinion Argumentation from Raw Unlabeled Twitter Data using Convolutional Neural Network
Richard Dufour
Mickael Rouvier
Alexandre Delorme
Damien Malinas
Opinion Argumentation based on Combined Information Retrieval and Topic Modeling
Seif Sendi
Chiraz Latiri
ECNU at MC2 2018 Task 2: Mining Opinion Argumentation
Jie Zhou
Qi Zhang
Qinmin Hu
Liang He
ImageCLEF - Multimedia Retrieval in CLEF
Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval
Duc-Tien Dang-Nguyen
Luca Piras
Michael Riegler
Liting Zhou
Mathias Lux
Cathal Gurrin
Overview of the ImageCLEF 2018 Caption Prediction Tasks
Alba García Seco De Herrera
Carsten Eickhoff
Vincent Andrearczyk
Henning Müller
Overview of ImageCLEFtuberculosis 2018 - Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores
Yashin Dicente Cid
Vitali Liauchuk
Vassili Kovalev
Henning Müller
Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task
Sadid A. Hasan
Yuan Ling
Oladimeji Farri
Joey Liu
Henning Müller
Matthew Lungren
Texture Analysis from 3D Model and Individual Slice Extraction for Tuberculosis MDR Detection, Type Classification and Severity Scoring
Md Sajib Ahmed
Md Obaidullah Sk
Mohan Jayatilake
Teresa Gonçalves
Luís Rato
Deep Neural Networks and Decision Tree Classifier for Visual Question Answering in the Medical Domain
Imane Allaouzi
Mohamed Ben Ahmed
A 3D-CNN and SVM for Multi-Drug Resistance Detection
Imane Allaouzi
Mohamed Ben Ahmed
NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain
Asma Ben Abacha
Soumya Gayen
Jason J Lau
Sivaramakrishnan Rajaraman
Dina Demner-Fushman
Regim Lab Team at ImageCLEF Lifelog Moment Retrieval Task 2018
Fatma Ben Abdallah
Ghada Feki
Mohamed Ezzarka
Anis Ben Ammar
Chokri Ben Amar
Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images
Kirill Bogomasov
Ludmila Himmelspach
Gerhard Klassen
Martha Tatusch
Stefan Conrad
Leveraging Content and Context in Understanding Activities of Daily Living
Minh-Son Dao
Asem Kasem
Mohamed Saleem Haja Nazmudeen
Texture-based Graph Model of the Lungs for Drug Resistance Detection, Tuberculosis Type Classification, and Severity Scoring: Participation in ImageCLEF 2018 Tuberculosis Task
Yashin Dicente Cid
Henning Müller
Multimedia Lab @ ImageCLEF 2018 Lifelog Moment Retrieval Task
Mihai Dogariu
Bogdan Ionescu
Analysing TB Severity Levels with an Enhanced Deep re-sidual Learning – Depth-Resnet
Xiaohong Gao
Carl James-Reynolds
Ed Currie
ImageCLEF2018: Transfer Learning for Deep Learning with CNN for Tuberculosis Classification
Amilcare Gentili
ImageCLEF 2018: Semantic Descriptors for Tuberculosis CT Image Classification
Abdelkader Hamadi
Djamel Eddine Yagoub
ImageCLEF 2018 Tuberculosis Task: Ensemble of 3D CNNs with Multiple Inputs for Tuberculosis Type Classification
Adam Ishay
Oge Marques
Retrieving Events in Life Logging
Ergina Kavallieratou
Carlos R. Del-Blanco
Carlos Cuevas
Narciso García
ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis
Vitali Liauchuk
Aleh Tarasau
Eduard Snezhko
Vassili Kovalev
Andrei Gabrielian
Alex Rosenthal
Tuberculosis Detection using Optical Flow and the Activity Description Vector
Fernando Llopis Pascual
Jorge Azorín-Lopez
Juan Ramón Rico-Juan
Andrés Fuster-Guillo
Irene Llopis
UMass at ImageCLEF Medical Visual Question Answering(Med-VQA) 2018 Task
Yalei Peng
Feifan Liu
Feature Learning with Adversarial Networks for Concept Detection in Medical Images: UA.PT Bioinformatics at ImageCLEF 2018
Eduardo Pinho
Carlos Costa
A Cross Modal Deep Learning Based Approach for Caption Prediction and Concept Detection by CS Morgan State
Mahmudur Rahman
Generating Text from Images in a Smooth Representation Space
Graham Spinks
Marie-Francine Moens
UMass at ImageCLEF Caption Prediction 2018 Task
Yupeng Su
Feifan Liu
Max P. Rosen
JUST at VQA-Med: A VGG-Seq2Seq Model
Bashar Talafha
Mahmoud Al-Ayyoub
Visual Concept Selection with Textual Knowledge for Understanding Activities of Daily Living and Life Moment Retrieval
Tsun-Hsien Tang
Min-Huan Fu
Hen-Hsen Huang
Kuan-Ta Chen
Hsin-Hsi Chen
Detection of Multidrug-resistant Tuberculosis using Convolutional Neural Networks and Decision Trees
Martha Tatusch
Stefan Conrad
Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion
Minh-Triet Tran
Thanh-Dat Truong
Tung Dinh-Duy
Viet-Khoa Vo-Ho
Quoc-An Luong
Vinh-Tiep Nguyen
IPL at ImageCLEF 2018: A kNN-based Concept Detection Approach
Leonidas Valavanis
Theodore Kalamboukis
ImageSem at ImageCLEF 2018 Caption Task: Image Retrieval and Transfer Learning
Xuwen Wang
Yu Zhang
Zhen Guo
Jiao Li
An Interactive Lifelog Retrieval System for Activities of Daily Living Understanding
Liting Zhou
Luca Piras
Michael Riegler
Mathias Lux
Duc-Tien Dang-Nguyen
Cathal Gurrin
Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering
Yangyang Zhou
Xin Kang
Fuji Ren
PIR-CLEF - Evaluation of Personalised Information Retrieval
Overview of the CLEF 2018 Personalised Information Retrieval Lab (PIR-CLEF 2018)
Gabriella Pasi
Gareth J. F. Jones
Keith Curtis
Stefania Marrara
Camilla Sanvitto
Debasis Ganguly
Procheta Sen
PIR Based in Explicit and Implicit Feedback
Alberto Andreu-Marín
Fernando Martínez-Santiago
Luís Alfonso Ureña-López
Manuel Carlos Díaz-Galiano
ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval
Qingchun Bai
Qi Zhang
Qinmin Hu
Liang He
Early Risk Prediction on the Internet
Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview)
David Losada
Fabio Crestani
Javier Parapar
Analysis and Experiments on Early Detection of Depression
Fidel Cacheda
Diego Fernández Iglesias
Francisco J. Novoa
Victor Carneiro
UNSL's participation at eRisk 2018 Lab
Dario G. Funez
María José Garciarena Ucelay
María Paula Villegas
Sergio Burdisso
Leticia Cagnina
Manuel Montes Y Gomez
Marcelo Errecalde
TUA1 at eRisk 2018
Ning Liu
Zheng Zhou
Kang Xin
Fuji Ren
Using Topic Extraction on Social Media Content for the Early Detection of Depression
Diego Maupomé
Marie-Jean Meurs
PEIMEX at eRisk2018: Emphasizing Personal Information for Depression and Anorexia Detection
Rosa María Ortega-Mendoza
Adrián Pastor Lopez-Monroy
Anilu Franco-Arcega
Manuel Montes-Y-Gómez
Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks
Sayanta Paul
Sree Kalyani Jandhyala
Tanmay Basu
Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet
Waleed Ragheb
Bilel Moulahi
Jérôme Azé
Sandra Bringay
Maximilien Servajean
IRIT at e-Risk 2018
Faneva Ramiandrisoa
Josiane Mothe
Benamara Farah
Véronique Moriceau
UPF's Participation at the CLEF eRisk 2018: Early Risk Prediction on the Internet
Diana Ramírez-Cifuentes
Ana Freire
Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia
Marcel Trotzek
Sven Koitka
Christoph M. Friedrich
A Neural Network Approach to Early Risk Detection of Depression and Anorexia on Social Media Text
Yu-Tseng Wang
Hen-Hsen Huang
Hsin-Hsi Chen
Checkthat - Automatic Identification and Verification of Political Claims
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness
Pepa Atanasova
Lluis Marquez
Alberto Barron-Cedeno
Tamer Elsayed
Reem Suwaileh
Wajdi Zaghouani
Spas Kyuchukov
Giovanni Da San Martino
Preslav Nakov
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality
Alberto Barron-Cedeno
Tamer Elsayed
Reem Suwaileh
Lluis Marquez
Pepa Atanasova
Wajdi Zaghouani
Spas Kyuchukov
Giovanni Da San Martino
Preslav Nakov
IRIT at CheckThat! 2018
Romain Agez
Clément Bosc
Cédric Lespagnol
Noémie Petitcol
Josiane Mothe
UPV-INAOE - Check That: An Approach based on External Sources to Detect Claims Credibility
Bilal Ghanem
Manuel Montes-Y-Gómez
Francisco Rangel
Paolo Rosso
UPV-INAOE - Check That: Preliminary Approach for Checking Worthiness of Claims
Bilal Ghanem
Manuel Montes-Y-Gómez
Francisco Rangel
Paolo Rosso
The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab
Casper Hansen
Christian Hansen
Jakob Grue Simonsen
Christina Lioma
Check It Out : Politics and Neural Networks
Yash Kumar Lal
Dhruv Khattar
Vaibhav Kumar
Abhimanshu Mishra
Vasudeva Varma
The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab
Dongsheng Wang
Jakob Grue Simonsen
Birger Larsen
Christina Lioma
bigIR at CLEF 2018: Detection and Verification of Check-Worthy Political Claims
Khaled Yasser
Mucahid Kutlu
Tamer Elsayed
A Hybrid Recognition System for Check-worthy Claims Using Heuristics and Supervised Learning
Chaoyuan Zuo
Ayla Karakas
Ritwik Banerjee
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